Objective tropical cyclone extratropical transition detection in high-resolution reanalysis and climate model data

This paper describes an objective technique for detecting the extratropical transition (ET) of tropical cyclones (TCs) in high-resolution gridded climate data. The algorithm is based on previous observational studies using phase spaces to define the symmetry and vertical thermal structure of cyclone...

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Published in:Journal of Advances in Modeling Earth Systems
Other Authors: Zarzycki, Colin M. (author), Thatcher, Diana R. (author), Jablonowski, Christiane (author)
Format: Article in Journal/Newspaper
Language:English
Published: 2017
Subjects:
Online Access:https://doi.org/10.1002/2016MS000775
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spelling ftncar:oai:drupal-site.org:articles_19722 2023-09-05T13:21:34+02:00 Objective tropical cyclone extratropical transition detection in high-resolution reanalysis and climate model data Zarzycki, Colin M. (author) Thatcher, Diana R. (author) Jablonowski, Christiane (author) 2017-03 https://doi.org/10.1002/2016MS000775 en eng Journal of Advances in Modeling Earth Systems--J. Adv. Model. Earth Syst.--19422466 articles:19722 ark:/85065/d72v2hxf doi:10.1002/2016MS000775 Copyright 2017 American Geophysical Union. article Text 2017 ftncar https://doi.org/10.1002/2016MS000775 2023-08-14T18:47:35Z This paper describes an objective technique for detecting the extratropical transition (ET) of tropical cyclones (TCs) in high-resolution gridded climate data. The algorithm is based on previous observational studies using phase spaces to define the symmetry and vertical thermal structure of cyclones. Storm tracking is automated, allowing for direct analysis of climate data. Tracker performance in the North Atlantic is assessed using 23 years of data from the variable-resolution Community Atmosphere Model (CAM) at two different resolutions (Delta X similar to 55 km and 28 km), the Climate Forecast System Reanalysis (CFSR, Delta X similar to 38 km), and the ERA-Interim Reanalysis (ERA-I, Delta X similar to 80 km). The mean spatiotemporal climatologies and seasonal cycles of objectively detected ET in the observationally constrained CFSR and ERA-I are well matched to previous observational studies, demonstrating the capability of the scheme to adequately find events. High-resolution CAM reproduces TC and ET statistics that are in general agreement with reanalyses. One notable model bias, however, is significantly longer time between ET onset and ET completion in CAM, particularly for TCs that lose symmetry prior to developing a cold-core structure and becoming extratropical cyclones, demonstrating the capability of this method to expose model biases in simulated cyclones beyond the tropical phase. Article in Journal/Newspaper North Atlantic OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Journal of Advances in Modeling Earth Systems 9 1 130 148
institution Open Polar
collection OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research)
op_collection_id ftncar
language English
description This paper describes an objective technique for detecting the extratropical transition (ET) of tropical cyclones (TCs) in high-resolution gridded climate data. The algorithm is based on previous observational studies using phase spaces to define the symmetry and vertical thermal structure of cyclones. Storm tracking is automated, allowing for direct analysis of climate data. Tracker performance in the North Atlantic is assessed using 23 years of data from the variable-resolution Community Atmosphere Model (CAM) at two different resolutions (Delta X similar to 55 km and 28 km), the Climate Forecast System Reanalysis (CFSR, Delta X similar to 38 km), and the ERA-Interim Reanalysis (ERA-I, Delta X similar to 80 km). The mean spatiotemporal climatologies and seasonal cycles of objectively detected ET in the observationally constrained CFSR and ERA-I are well matched to previous observational studies, demonstrating the capability of the scheme to adequately find events. High-resolution CAM reproduces TC and ET statistics that are in general agreement with reanalyses. One notable model bias, however, is significantly longer time between ET onset and ET completion in CAM, particularly for TCs that lose symmetry prior to developing a cold-core structure and becoming extratropical cyclones, demonstrating the capability of this method to expose model biases in simulated cyclones beyond the tropical phase.
author2 Zarzycki, Colin M. (author)
Thatcher, Diana R. (author)
Jablonowski, Christiane (author)
format Article in Journal/Newspaper
title Objective tropical cyclone extratropical transition detection in high-resolution reanalysis and climate model data
spellingShingle Objective tropical cyclone extratropical transition detection in high-resolution reanalysis and climate model data
title_short Objective tropical cyclone extratropical transition detection in high-resolution reanalysis and climate model data
title_full Objective tropical cyclone extratropical transition detection in high-resolution reanalysis and climate model data
title_fullStr Objective tropical cyclone extratropical transition detection in high-resolution reanalysis and climate model data
title_full_unstemmed Objective tropical cyclone extratropical transition detection in high-resolution reanalysis and climate model data
title_sort objective tropical cyclone extratropical transition detection in high-resolution reanalysis and climate model data
publishDate 2017
url https://doi.org/10.1002/2016MS000775
genre North Atlantic
genre_facet North Atlantic
op_relation Journal of Advances in Modeling Earth Systems--J. Adv. Model. Earth Syst.--19422466
articles:19722
ark:/85065/d72v2hxf
doi:10.1002/2016MS000775
op_rights Copyright 2017 American Geophysical Union.
op_doi https://doi.org/10.1002/2016MS000775
container_title Journal of Advances in Modeling Earth Systems
container_volume 9
container_issue 1
container_start_page 130
op_container_end_page 148
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